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Gaia-Protocol

Gaia Protocol—a planetary DAO for global resource management using quantum-entangled ledgers and algorithmic governance.

License: MIT Polygon Quantum

Gaia Protocol: Planetary DAO for Quantum Resource Management

Vision (2065): The collapse of national supply chains leads to the Gaia Protocol—a planetary Decentralized Autonomous Organization (DAO) managing global resources via quantum-entangled ledgers. Web4 evolves into an "Internet of Everything," where every atom is digitally twinned and tracked in real-time. The economy ceases to be speculative, becoming an engine of Perfect Allocation through algorithmic governance, optimizing water, energy, and minerals dynamically. Markets oscillate like a biological homeostatic system, self-correcting instantly based on planetary needs, not profit.

Gaia Protocol integrates quantum simulations, AI-driven optimization, IoT digital twins, and blockchain governance for a self-sustaining, equitable global system. This repo is the nexus—deployable today, scalable to 2065.

Table of Contents

Quick Start

  1. Clone and Install:

    git clone https://github.com/KOSASIH/Gaia-Protocol.git cd Gaia-Protocol npm install pip install -r requirements.txt
  2. Run Simulations:

    python simulations/quantum_ledger.py # Quantum sync python simulations/ai_optimizer.py # RL optimization python simulations/iot_simulator.py # IoT twinning
  3. Deploy Contracts:

    npx hardhat run scripts/deploy.js --network polygonMumbai
  4. Interact:

    npx hardhat run scripts/interact.js --network polygonMumbai npm start # Frontend (in frontend/)
  5. Test:

    npm test

See Setup for details.

Architecture

Gaia Protocol is a multi-layered system:

  • Simulations Layer: Python-based quantum (Qiskit), AI (Stable-Baselines3), IoT (Async physics sims).

  • Blockchain Layer: Solidity contracts on Polygon (DAO governance, resource allocation).

  • Oracle Layer: Chainlink for off-chain data feeds.

  • Frontend Layer: React Web3 app for user interaction.

  • Integration Layer: Scripts bridge sims to on-chain via oracles.

graph TD A[IoT Sensors] --> B[Digital Twins] B --> C[AI Optimizer] C --> D[Quantum Ledger] D --> E[Chainlink Oracle] E --> F[GaiaDAO Contracts] F --> G[ResourceAllocator] G --> H[Frontend UI] H --> I[User Votes/Allocations]
  • Quantum Entanglement: Simulates FTL sync for instant global inventory.

  • AI Homeostasis: RL agents self-correct allocations for equity.

  • IoT Everything: Physics-based twins track planetary atoms.

Setup

Prerequisites

  • Node.js 16+, Python 3.8+, Hardhat, MetaMask.

  • APIs: Chainlink, OpenWeatherMap (for real data).

Installation

  1. Backend:

    npm install pip install -r requirements.txt
  2. Frontend:

    cd frontend npm install
  3. Environment: Create .env:

    PRIVATE_KEY=your_polygon_private_key CHAINLINK_API_KEY=your_key OPENWEATHER_API_KEY=your_key
  4. Hardhat Config: Update hardhat.config.js with your RPCs.

Deployment

  • Local: npx hardhat node then deploy.

  • Testnet: npm run deploy on Mumbai.

  • Mainnet: Bridge via scripts/deploy.js.

Usage

Running Simulations

  • Quantum Ledger: python simulations/quantum_ledger.py – Outputs synced planetary data.

  • AI Optimizer: python simulations/ai_optimizer.py – Trains RL model, optimizes allocations.

  • IoT Simulator: python simulations/iot_simulator.py – Streams real-time twin data.

Interacting with Contracts

  • Vote in DAO: Use interact.js or frontend.

  • Allocate Resources: Mint NFTs via allocator contract.

  • Monitor: CLI for real-time alerts.

Frontend

  • npm start in frontend/ – Connect wallet, vote, view dashboards.

APIs and References

Contracts

  • GaiaDAO:

    • createProposal(desc, target, data): AI-predicted proposal.

    • vote(id, support, amount): Quantum-inspired voting.

    • executeProposal(id): Self-executing governance.

  • ResourceAllocator:

    • allocateResource(region, amount): Oracle-adjusted allocation.

    • rebalanceResource(tokenId, newAmount): AI rebalancing.

Simulations

  • QuantumLedger:

    • sync_inventory(data, node): Entangled sync.

    • multi_node_sync(nodes_data): Consensus.

  • ResourceOptimizer:

    • optimize_allocation(regions_data): RL predictions.

    • simulate_homeostasis(steps): Self-correction.

  • IoTSimulator:

    • simulate_tracking(): Async twin updates.

    • multi_agent_consensus(): Mesh validation.

Oracles

  • Chainlink Functions: Feed sim results to contracts.

Integrations

  • Chainlink Bridge: oracles/chainlink_bridge.py pulls sims, submits to on-chain.

  • Frontend Utils: frontend/src/utils/web3.js connects to Polygon.

  • Cross-Chain: Scripts bridge to Ethereum mainnet.

  • Real Data: Augment sims with APIs for authenticity.

Security and Audits

  • Audits: Run node scripts/audit.js (Slither integration).

  • Quantum Resistance: Lattice-based hashing in contracts.

  • Reentrancy Guards: OpenZeppelin in Solidity.

  • Formal Verification: Hooks for Certora.

  • Known Issues: Quantum sims are classical approximations; monitor for decoherence in real quantum hardware.

Performance

  • Benchmarks: Quantum sync: <1s on Qiskit; AI training: 5-10min on GPU; IoT: 1000+ sensors real-time.

  • Gas Costs: Optimized contracts; batch allocations save 30%.

  • Scalability: Supports 10^6 users via Polygon Layer 2.

Roadmap

  • 2025: Real quantum hardware integration.

  • 2030: Global IoT mesh deployment.

  • 2065: Full planetary homeostasis, no speculation.

  • Contributions: Open issues for features.

Contributing

  • Fork, branch, PR. Run tests before submit.

  • Code Style: ESLint for JS, Black for Python.

License

MIT. See LICENSE.


Gaia Protocol: Building the future of planetary harmony, one quantum bit at a time.

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security - not tested
A
license - permissive license
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quality - not tested

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